ReviewTrends in ecology & evolution2010
Never mind the length, feel the quality: the impact of long-term epidemiological data sets on theory, application and policy.
Review in Trends in ecology & evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Uncovering ecological state dynamics with hidden Markov models.Ecology letters · 2020Review
- Article
- Article
- Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead.Proceedings. Biological sciences · 2017Review
- Inferring epidemiological parameters from phylogenies using regression-ABC: A comparative study.PLoS computational biology · 2017Article
- Modeling infectious disease dynamics in the complex landscape of global health.Science (New York, N.Y.) · 2015Review
- Stochastic environmental fluctuations drive epidemiology in experimental host-parasite metapopulations.Proceedings. Biological sciences · 2013Article
- Improving the modeling of disease data from the government surveillance system: a case study on malaria in the Brazilian Amazon.PLoS computational biology · 2013Article
- How to make epidemiological training infectious.PLoS biology · 2012Article
- Individual and population-level impacts of an emerging poxvirus disease in a wild population of great tits.PloS one · 2012Article
- Frontiers in climate change-disease research.Trends in ecology & evolution · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases have been a prime testing ground for ecological theory. However, the ecological perspective is increasingly recognized as essential in epidemiology. Long-term, spatially resolved reliable data on disease incidence and the ability to test them using mechanistic models have been critical in this cross-fertilization. Here, we review some of the key intellectual developments in epidemiology facilitated by long-term data. We identify research frontiers at the interface of ecology and epidemiology and their associated data needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.